code: def __init__(self, is_target: bool = False):
      super().__init__(is_target)
      self._tokenizer_class = DistilBertTokenizer
      self._pretrained_model_name = "distilbert-base-uncased"
      self._max_len = None
      self._tokenizer = None
      self._pad_id = None
  
file_path: lightwood/lightwood/encoder/text/vocab.py
imports: import os
  import torch
  from transformers import DistilBertTokenizer
  from lightwood.encoder.base import BaseEncoder
label_desc: Use image node_id 1 to create a new VocabularyEncoder object from inherited base classes: BaseEncoder with example: obj = VocabularyEncoder(is_target)